A targeted metabolomics approach toward understanding metabolic variations in rice under pesticide stress

Analytical Biochemistry
Vahideh MahdaviAlireza Ghassempour

Abstract

Diazinon insecticide is widely applied throughout rice (Oryza sativa L.) fields in Iran. However, concerns are now being raised about its potential adverse impacts on rice fields. In this study, a time-course metabolic change in rice plants was investigated after diazinon treatment using gas chromatography-mass spectrometry (GC-MS), and subsequently the statistical strategy of random forest (RF) was performed in order to find the stress-associated effects. According to the results, a wide range of metabolites were dynamically varied as a result of the plant response to diazinon such as biosynthesis and metabolism of sugars, amino acids, organic acids, and phenylpropanoids, all correlating with the exposure time. Plant response was involved in multiple metabolic pathways, most of which were correlated with the exposure time. In this study, RF was explored as a potential multivariate method for GC-MS analysis of metabolomics data of rice (O. sativa L.) plants under diazinon stress; more than 31 metabolites were quantitatively determined, and time-course metabolic response of the plant during different days after treatment was measured. Results demonstrated RF as a potential multivariate method for GC-MS analysis of changes in pla...Continue Reading

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Citations

May 23, 2017·PloS One·Seyed Ali GoldansazDavid S Wishart
Sep 12, 2019·International Journal of Molecular Sciences·Sangiliyandi GurunathanJin-Hoi Kim
Jul 7, 2019·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Anket SharmaBingsong Zheng
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Aug 31, 2021·The Science of the Total Environment·Yuxue ZhangXianyong Lin
Jul 4, 2021·Environmental Science and Pollution Research International·Lili GuoHoujian Li

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